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Title:

Maximization of Platoon Formation Through Centralized Routing and Departure Time Coordination

Accession Number:

01629796

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309460446

Abstract:

Platooning allows vehicles to travel with a small intervehicle distance in a coordinated fashion because of vehicle-to-vehicle connectivity. When applied at a larger scale, platooning creates significant opportunities for energy savings because of reduced aerodynamic drag, as well as increased road capacity and a reduction in congestion resulting from shorter vehicle headways. These potential savings are maximized, however, if platooning-capable vehicles spend most of their travel time within platoons. Ad hoc platoon formation may not ensure a high rate of platoon driving. This paper considers the problem of central coordination of platooning-capable vehicles. Coordination of their routes and departure times can maximize the fuel savings afforded by platooning vehicles. The resulting problem is a combinatorial optimization problem that considers the platoon coordination and vehicle routing problems simultaneously. The methodology is demonstrated through evaluation of the benefits of a coordinated solution and comparison with the uncoordinated case when platoons form only in an ad hoc manner. The coordinated and uncoordinated scenarios are compared on a grid network with various assumptions about demand and the time vehicles are willing to wait.

Monograph Title:

Network Modeling

Monograph Accession #:

01658386

Report/Paper Numbers:

17-06389

Language:

English

Authors:

Sokolov, Vadim
Larson, Jeffrey
Munson, Todd
Auld, Josh
Karbowski, Dominik

Pagination:

pp 10–16

Publication Date:

2017

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2667
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309460446

Media Type:

Digital/other

Features:

Figures (6) ; References (36)

Subject Areas:

Highways; Planning and Forecasting

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:36PM

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